Supply chain coordination with dual procurement sources via real-option contract

In a two-stage supply chain with a supplier and a manufacturer, the manufacturer can purchase a product either from the supplier or in the spot market. The spot market, however, inevitably involves price fluctuation risk and supply risk. Assuming that the manufacturer is the leader in a procurement game and offers a real-option contract to the supplier, we study the manufacturer’s optimal mixed procurement strategy that integrates the use of the real-option contract and the spot market. Moreover, we analyze the effects of the price risk and the supply risk in the spot market on market equilibrium. We show that using the real-option contract mechanism improves the overall expected profit of a supply chain and guarantees supply chain coordination in the presence of the spot market. The results also demonstrate that the price risk and the supply risk in the spot market adversely affect the manufacturer’s expected profit. On the contrary, these two risks bring benefits to the supplier.     

Supply chain coordination with risk sensitive retailer under target sales rebate

Target sales rebate (TSR) contracts have been shown to be useful in coordinating supply chains with risk-neutral agents. However, there have been few studies on the cases with risk sensitive agents. As a result, based on the classic Markowitz portfolio theory in finance, we carry out in this paper a mean–variance (MV) analysis of supply chains under TSR contracts. We study a supply chain with a single supplier and a single risk averse retailer. We propose TSR contracts for achieving coordination. We demonstrate how TSR contracts can coordinate the supply chain which takes into consideration the degree of risk aversion of the retailer. We find that the supplier can coordinate the channel with flexible TSR contracts. In addition, we extend the supply chain model to include sales effort decision of the retailer. Conditions for TSR contracts to coordinate the supply chain with sales effort of retailer are also derived.     

Supply chain coordination using time-based temporary price discounts

In this paper, the issue of supply chain coordination (SCC) in a buyer–seller supply chain (SC) with an order size constraint is investigated. The buyer keeps safety stock to cope with lead time demand uncertainties from customers’ side. Unsatisfied demand will be lost. Therefore the whole SC sales volume depends on the service level provided by the buyer. By proposing a time-based temporary price discount in each replenishment cycle, the seller intends to convince the buyer to optimize its safety stock globally. Maximum and minimum discounts, which are acceptable for both parties, are determined and an appropriate discount schedule is derived. A set of numerical experiments are conducted to show performance of the proposed model. The results show that the safety stock coordination is profitable; the proposed model is capable of coordinating supply chain. In addition, the model can share extra benefits between SC members fairly.     

Supply chain coordination for a deteriorating item with stock and price‐dependent demand under revenue sharing contract

This paper deals with an integrated single‐manufacturer single‐retailer supply chain model for a single item. The market demand is assumed to be dependent on both the on‐hand stock and price, and the manufacturer and the retailer are in an agreement of lot‐for‐lot policy. The proposed model is developed under the contract that the retailer offers the manufacturer a percentage of revenue (s)he generates by selling a lot. We determine optimal policies for both the centralized and decentralized coordination systems. A comparison of these policies is made with a numerical example. Sensitivity analysis is performed to examine the stability of the solution.     

Supply chain network equilibrium with revenue sharing contract under demand disruptions

Contract is a common and effective mechanism for supply chain coordination, which has been studied extensively in recent years. For a supply chain network model, contracts can be used to coordinate it because it is too ideal to obtain the network equilibrium state in practical market competition. In order to achieve equilibrium, we introduce revenue sharing contract into a supply chain network equilibrium model with random demand in this paper. Then, we investigate the influence on this network equilibrium state from demand disruptions caused by unexpected emergencies. When demand disruptions happen, the supply chain network equilibrium state will be broken and change to a new one, so the decision makers need to adjust the contract parameters to achieve the new coordinated state through bargaining. Finally, a numerical example with a sudden demand increase as a result of emergent event is provided for illustrative purposes.     

基于博弈论和VMI的收益共享机制协调模型

以供应商和零售商组成的二阶段供应商管理库存（ＶＭＩ）供应链系统为研究对象,考虑随机需求下的ＶＭＩ系统中可能存在的滞销成本或缺货惩罚,建立了传统、Ｓｔａｃｋｅｌｂｅｒｇ博弈、Ｎａｓｈ协商的３种收益共享机制的协调模型,并得出Ｎａｓｈ协商能完美协调分散式ＶＭＩ供应链的结论．最后,通过数值算例对相关结论进行了验证和分析．     

基于信号传递博弈的供应链需求信息共享机制

在随机需求信息不对称情况下,研究掌握市场需求信息的制造商如何设计契约以实现信息共享的问题.运用信号传递博弈理论,设计一种分离均衡的利润共享契约机制,利润共享参数起到了传递信息的信号作用.分析表明,此契约机制不仅可以实现信息共享,而且克服了以往研究中存在的不足,同时实现了供应链系统绩效的最优化.最后通过实例验证了所提出契约机制的有效性.     

限额与交易下考虑战略顾客行为的供应链决策与协调

研究由一个受限额与交易政策约束的制造商和一个面临同质战略顾客的零售商组成的两级供应链决策与协调问题. 分别研究得到了限额与交易政策下一体化(包括理性预期均衡和数量承诺两种情形) 和分散化供应链最优决策和最大期望利润, 并与不考虑限额与交易政策的情形进行对比分析, 发现限额与交易政策使得供应链最优产量降低、最优价格升高、碳排放量减少. 最后, 以数量承诺情形为基准, 基于收益分享合同设计了供应链协调策略.

     

Supply chain redesign for resilience using simulation

Supply chains are facing numerous changes that are contributing to increasing their complexity and vulnerability to disturbances, therefore, to survive, supply chains must be resilient. The paper presents a supply chain simulation study for a real case concerned with the Portuguese automotive supply chain. The subset automotive supply chain involved in the case study is a three-echelon supply chain, composed by one automaker, two 1st-tier suppliers, two 2nd-tier suppliers, and one outsource entity. The purpose of the study is to evaluate alternative supply chain scenarios for improving supply chain resilience to a disturbance and understanding how mitigation strategies affect each supply chain entity performance. Two strategies widely used to mitigate disturbance negative effects on supply chains were considered and six scenarios were designed. The scenarios differ in terms of presence or absence of a disturbance in one hand and presence or absence of a mitigation strategy in other hand. To evaluate the scenarios designed, two performance measures were defined per supply chain entity, Lead Time Ratio and Total Cost.     

A framework for evaluation of coordination by contracts: A case of two-level supply chains

A supply chain consists of disparate but inter-dependent members who are dependent on each other to manage various resources (such as inventory, money and information). The conflicting objectives and lack of coordination between these members may often cause uncertainties in supply and demand. Coordination may help in managing inter-dependencies and reducing uncertainties. Typically, a mechanism is required to streamline the whole supply chain and motivate all the members to be a part of the entire supply chain for sharing risks and rewards through supply chain contracts.The objective of this paper is to explore the applicability and benefits of the contracts. A two-phase framework is proposed consisting of a decision support tool and a graph-theoretic model for evaluation of coordination in a two-level supply chain. In Phase I, an analytical model is proposed based on the classical newsboy problem. Various contract mechanisms have been explored through a decision support tool based on the simulation. The effectiveness of these contracts is evaluated through a graph-theoretic model in Phase II. It is expected that by designing the contracts as per the requirements of the supply chain members as well as the whole supply chain, supply chain performance may be improved.     

Supply chain coordination model with controllable lead time and service level constraint

We consider the coordination issue in a decentralized supply chain composed of a vendor and a buyer in this paper. The vendor offers a single product to the buyer who is faced with service level constraint. In addition, lead time can be reduced by added crashing cost. We analyze two supply chain inventory models. The first one is developed under decentralized mode based on Stackelberg model, the other one is developed under centralized mode of the integrated supply chain. The solution procedures are also provided to get the optimal solutions of these two models. Finally, a price discount mechanism is proposed to induce both the vendor and the buyer to accept the centralized model. The feasibility and efficiency of the proposed models are manifested by numerical examples and some managerial implications are highlighted.     

产出不确定的农产品供应链协调问题研究

目前关于供应链协调的研究大都基于产出确定的情形,但是现实中却存在很多产出不确定的情形,对此,研究了在产出不确定的背景下农产品供应链的协调问题.首先以期望收益最大化为目标建立数学模型;然后从理论上证明了集中决策下系统存在最优计划生产量,在分散无协调时存在均衡解以及分散有协调情况下风险分担契约能够实现供应链的协调;最后通过实例验证了所提理论的合理性.     

考虑提前期压缩的Newsvendor型产品供应链协调模型

在假定制造商的单位生产成本是关于提前期的减函数的前提下,将提前期视为可控决策变量,建立了带有提前期压缩的Newsvendor型产品供应链协调模型,讨论了提前期压缩对供应链及其成员收益的影响,并利用由回购和回扣/惩罚所组成的联合契约实现了供应链的协调.数值仿真分析结果验证了结论的正确性.     

供应链环境下库存控制策略研究

库存控制与管理是现代企业生产经营管理过程中不可或缺的组成部分,也是供应链管理的主要活动之一。传统的库存管理仅将注意力放在对自身库存物资进行控制与管理上,但在供应链环境下,库存管理需将视野从自身扩大到整个供应链网络上来,相互协调共同管理库存,实现整个供应链库存的优化,达到供应链上各节点企业的共赢。     

Supply chain positioning strategy integration, evaluation, simulation, and optimization

When a company faces the global market, they would have to reengineer their processes and reorient their operation strategies, such as supply chain positioning strategy (SCPS) to benefit the most from a given situation. SCPS refers to actions taken by firms to respond to and satisfy customers' demand. The traditional concepts of production positioning strategy has been extended in this paper to develop various supply chain positioning strategies with a view that, for different production strategies, supply chain strategies should also be different. Obviously, each typical strategy has its advantages and limitations, and only fits for some certain scenarios. In this study, typical SCPSs have been defined, analyzed and classified. Supply chain dynamics and their impact on various strategies are also discussed. Subsequently, general integration approaches of the proposed strategies have been explored. Then, an approach for implementing SCPS in electronics industry is elaborated. It is shown that with integrated strategies, companies can get their desired optimal business values, even under great supply chain dynamics. It is expected that this method would be suitable for global organizations that has a need to cater to varying demands in different regions.     

Supply chain management ontology from an ontology engineering perspective

Knowledge sharing and reuse are important factors affecting the performance of supply chains. These factors can be amplified in information systems by supply chain management (SCM) ontology. The literature provides various SCM ontologies for a range of industries and tasks. Although many studies make claims of the benefits of SCM ontology, it is unclear to what degree the development of these ontologies is informed by research outcomes from the ontology engineering field. This field has produced a set of specific engineering techniques, which are supposed to help developing quality ontologies. This article reports a study that assesses the adoption of ontology engineering techniques in 16 SCM ontologies. Based on these findings, several implications for research as well as SCM ontology adoption are articulated.     

The impact of information sharing and inventory control coordination on supply chain performances

The lack of coordination in supply chains can cause various inefficiencies like bullwhip effect and inventory instability. Extensive researches quantified the value of sharing and forecasting of customer demand, considering that all the supply chain partners can have access to the same information. However, only few studies devoted to identify the value of limited collaboration or information visibility, considering their impact on the overall supply chain performances for local and global service level. This paper attempts to fill this gap by investigating the interaction of collaboration and coordination in a four-echelon supply chain under different scenarios of information sharing level. The results of the simulation study show to what extent the bullwhip effect and the inventory variance increase and amplify when a periodic review order-up-to level policy applies, noting that more benefits generate when coordination starts at downstream echelons. A factorial design confirmed the importance of information sharing and quantified its interactions with inventory control parameters, proving that a poor forecasting and definition of safety stock levels have a significant contribution to the instability across the chain. These results provide useful implications for supply chain managers on how to control and drive supply chain performances.     

不同碳排放政策下基于回购合同的供应链协调策略

碳排放政策给企业运营和供应链管理带来了新的挑战,使供应链上企业的管理决策更加复杂。考虑由一个供应商与一个制造商组成的二级供应链,研究不同碳排放政策(碳税、限额、限额与交易)下基于回购合同的供应链协调问题,并与无碳排放约束的情形进行比较。研究结果表明,在不同碳排放政策下,回购合同均能实现供应链协调,无碳排放约束、碳限额与交易和碳限额政策下制造商的最优订货量依次减小,而供应商给出的回购价格依次提高。     

Supply chain network design under uncertainty with new insights from contracts

In this paper, the classical problem of supply chain network design is reconsidered to emphasize the rolc of contracts in uncertain environments. The supply chain addressed consists of four layers： suppliers, manufacturers, warehouses, and customers acting within a single period. The single owner of the manufacturing plants signs a contract with each of the suppliers to satisfy demand from downstream. Available contracts consist of long-term and option contracts, and unmet demand is satisfied by purchasing from the spot market. In this supply chain, customer demand, supplier capacity, plants and warehouses, transportation costs, and spot prices are uncertain. Two models are proposed here： a risk-neutral two-stage stochastic model and a risk-averse model that considers risk measures. A solution strategy based on sample average approximation is then proposed to handle large scale problems. Extensive computational studies prove the important role of contracts in the design process, especially a portfolio of contracts. For instance, we show that long-term contract alone has similar impacts to having no contracts, and that option contract alone gives inferior results to a combination of option and long-term contracts. We also show that the proposed solution methodology is able to obtain good quality solutions for large scale problems.     

基于SOA架构的医药供应链信息共享系统研究

该文针对目前医药供应链信息系统中各企业信息和业务难以共享的现状,提出了以SOA体系架构来实施医药供应链共享平台的方案,可以有效解决供应链过程中各企业信息和业务的共享问题。文中分析了医药供应链系统中的服务功能模块,根据功能模块讨论了系统实现模型与实现方法。